Client-Facing AI Deployment Engineer

Inspired Infotech LLC.

Clearwater (FL)

Remote

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Inspired Infotech LLC. is seeking a Software Engineer to join our AI and data solutions practice. You will collaborate with client teams, prototype with real data, and bring production‑grade solutions to life across on‑site or remote settings in the US.

The role emphasizes end‑to‑end delivery, strong coding skills in Python or TypeScript, and practical LLM experience. You’ll work with fast‑paced projects, travel to client sites as needed, and coordinate with distributed delivery pods to transfer

Qualifications

  • 3–6 years of full‑stack or backend engineering experience.
  • Strong Python or TypeScript, plus SQL.
  • Experience shipping production software end to end.
  • Hands-on experience with LLM applications.
  • Excellent communication with technical and business stakeholders.
  • Willingness to travel to client sites as needed.

Responsibilities

  • Embed with client teams to turn ambiguous, high‑priority problems into AI and data solutions running in production.
  • Work on-site or remotely with client users to understand workflows.
  • Rapidly prototype solutions with real data.
  • Integrate with client systems, data platforms and identity.
  • Harden solutions for production: testing, security, monitoring.
  • Coordinate with our Hyderabad delivery pod and transfer knowledge to client teams.

Skills

Python
TypeScript
SQL
LLM apps
Production software
Communication

Tools

Docker
Bedrock/Azure OpenAI
LangGraph

Job description

Inspired Infotech LLC. is seeking a Software Engineer to join our AI and data solutions practice. You will collaborate with client teams, prototype with real data, and bring production‑grade solutions to life across on‑site or remote settings in the US.

The role emphasizes end‑to‑end delivery, strong coding skills in Python or TypeScript, and practical LLM experience. You’ll work with fast‑paced projects, travel to client sites as needed, and coordinate with distributed delivery pods to transfer

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